class_docstr: The Popularity Model ranks an item according to its overall popularity.
  
  When making recommendations, the items are scored by the number of times it
  is seen in the training set. The item scores are the same for all users.
  Hence the recommendations are not tailored for individuals.
  
  The Popularity Recommender is simple and fast and provides a reasonable baseline.
  It can work well when observation data is sparse. It can be used as a
  "background" model for new users.
  
  **Creating a PopularityRecommender**
  
  This model cannot be constructed directly.  Instead, use
  :func:`turicreate.recommender.popularity_recommender.create`
  to create an instance
  of this model. A detailed list of parameter options and code samples
  are available in the documentation for the create function.
  
  See Also
  --------
  create
docstr: __init__(self)
docstr_tok: ["__init__","(","self",")"]
code: def __init__(self, model_proxy):
      """__init__(self)"""
      self.__proxy__ = model_proxy
  
file_path: turicreate/src/python/turicreate/toolkits/recommender/popularity_recommender.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  from turicreate.toolkits.recommender.util import _Recommender
  from turicreate.data_structures.sframe import SFrame
label_desc: Use image node_id 1 to create a new PopularityRecommender object from inherited base classes: _Recommender with example: obj = PopularityRecommender(model_proxy)